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Oqlo

Oqlo is a drone-tech company specializing in aerial surveying, digital twin creation, and geospatial analytics. Serving industries like construction, mining, agriculture, and infrastructure, Oqlo enables scalable, cost-efficient, and data-rich alternatives to traditional manual land surveys and inspections.

Potree
Cesium
OpenLayers
Nest.JS
Potree, Cesium, OpenLayers
3D Libraries
HTML, CSS, and JavaScript
Web Development
Nest.JS
Backend
Razorpay
Payment Mode

Aim of the Project

The client set out to transform the conventional survey and inspection industry by leveraging drone technology, digital twins, and geospatial data visualization. The objective was to create a platform that not only enabled high-precision virtual inspections but also supported real-time collaboration, project management, and access control — all while minimizing the time, cost, and complexity of traditional surveying workflows.

What We Did

We built a comprehensive drone surveying and digital twin platform that goes beyond visualization, offering a fully integrated environment for workspace management, project coordination, access control, and subscription-based feature management. Users can capture aerial data, generate high-resolution digital twins, and interact with massive geospatial datasets through intelligent chunk-based loading for seamless performance. The platform enables teams to manage multiple projects, control user permissions, assign tasks, and securely collaborate within role-based workspaces. Additionally, built-in payment and subscription modules allow for monetization through tiered feature access, making the platform scalable, secure, and ideal for enterprises operating in construction, infrastructure, and environmental monitoring.

Challenges We Faced

How We Solved Real Problems

PROBLEM
Conventional land and infrastructure surveys relied on manual fieldwork, demanding large teams, extended timelines, and high operational costs.
SOLUTION
We leveraged drone-based aerial surveying and geospatial imaging to automate data capture, dramatically reducing costs, accelerating turnaround time, and minimizing manpower requirements.
PROBLEM
Surveying large-scale areas (often thousands of acres) generated massive geospatial datasets that were difficult to render and interact with in real-time.
SOLUTION
We developed a high-performance spatial data streaming engine with intelligent chunk-based loading, which dynamically loads only the required point cloud or orthomosaic tile data. This optimized rendering performance and reduced memory usage, enabling seamless navigation and analysis across massive digital terrains.
PROBLEM
Traditional site inspections lacked precision and consistency, often introducing human error and limiting the depth of structural analysis.
SOLUTION
Through advanced photogrammetry and LiDAR data integration, we enabled precise digital twin creation. These hyper-realistic 3D models allow users to perform virtual inspections, zoom into high-resolution textures, and analyze structural integrity without setting foot on-site.
PROBLEM
Legacy systems offered limited tools for volumetric analysis, terrain assessment, and documentation, making in-depth reporting difficult.
SOLUTION
We integrated a comprehensive geospatial analytics suite into the platform, featuring tools for cut and fill volume calculations, elevation heatmaps, contour mapping, distance and area measurement, and before/after survey comparisons. Users can also auto-generate shareable PDF reports and export GIS-ready datasets for further analysis.
Technologies

Serving our clients across the diverse industries

Next.js

VTK

WebGL

React Three Fiber

Three.js

What Our Clients Say

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Meiling Zhang
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Michael Bennett
Founder, CFO
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Harish Patel
Co-Founder, CTO
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